Forward-Deployed AI Engineer for CAD/CAE Solutions

Neural Concept; New Jersey; Hybrid; USD 125,000 - 200,000; Full time

Benefits offered by this job

Hybrid work model

Healthcare coverage

401K matching

PTO

Job summary

Neural Concept is seeking a Forward Deployed Engineer to partner with industry leaders, applying Python-based ML to CAD/CAx and manufacturing workflows. You will implement solutions alongside customers’ engineering teams and demonstrate value through proofs-of-concept.

The role requires a master’s degree in engineering, applied math, or physics, strong Python skills, and hands-on ML/DL experience. Hybrid work with global customers offers a dynamic, impact-driven environment.

Qualifications

• Must have a strong foundation in machine learning
• Solid engineering background and understanding of CAD/CAx workflows
• Excellent communication and ability to engage with customers

Responsibilities

• Collaborate with customers’ engineering teams to implement tailored ML solutions using Python
• Apply deep-learning techniques to engineering/physics problems
• Deliver proofs-of-concept showing value in CAD/CAx and manufacturing workflows
• Train customer teams to adopt NC platform effectively
• Work with product teams to translate customer feedback into improvements

Skills

Machine Learning

Engineering Knowledge

Communication Skills

Customer-facing

Education

Master's degree in engineering/Applied Math/Physics

Tools

Python

TensorFlow

PyTorch

Job description

Neural Concept is seeking a Forward Deployed Engineer to partner with industry leaders, applying Python-based ML to CAD/CAx and manufacturing workflows. You will implement solutions alongside customers’ engineering teams and demonstrate value through proofs-of-concept.

The role requires a master’s degree in engineering, applied math, or physics, strong Python skills, and hands-on ML/DL experience. Hybrid work with global customers offers a dynamic, impact-driven environment.